blind assistant navigation system (original) (raw)

An integrated wireless indoor navigation system for visually impaired

2011

This paper presents an integrated wireless system that helps a visually impaired person navigate within an indoor environment. The guidance process to help the person navigate uses a ZigBee wireless mesh network to localize the user and a compass to determine his/her orientation. The system uses a server to calculate an optimal path from the user's present location to the target location or item to be reached. The system receives voice commands from the visually impaired person and generates audio responses to guide the person. The mobile unit of the system is compact and requires relatively low power. Overall the system has minimal intrusion level and the results of various testing scenarios showed it was successful. The results also showed that the accuracy level depends on the available ZigBee modules within the mesh network and the particular zone.

Automated Mobility and Orientation System for Blind PersonAutomated mobility is helpful for blind persons

2019

is paper is intended to provide a model for object detection and real time assistance via Global Positioning System (GPS).This<br>paper aims at the development of an Electronic Travelling Aid (ETA) kit to help the blind people to find obstacle free path. This ETA is fixed to<br>the wheel chair. When the object is detected near to the blind it alerts them with the help of voice play talkto which speakers are connected .<br>Ultrasonic sensors are used to evaluate distance of the objects around the blind person and to guide the user towards the secure and available<br>path. The hardware of entire system contains ARM7 (LPC2148),ultrasonic sensors and voice input kit, speakers, Global positioning system<br>(GPS) module and Global System for Mobile (GSM) module<br><br>This paper describes Automated mobility for blind persons.

Efficient Navigation System using Arduino for Blind

International Journal for Scientific Research and Development, 2014

A navigation system will assist the blind people to avoid obstacle in real life scenarios. It is an aid for blind and visually impaired people. It is based on a microcontroller with synthetic output. This aid is portable and gives information to the user about urban walking routes to point out what decisions to make. On the other hand, and in order to reduce navigation difficulties of the blind, an obstacle detection system using ultrasounds is added to this device. The proposed system detects the nearest obstacle via sonar system and sends back via feedback to inform the blind about its localization. This paper describes a guidance system for blind and partially sighted people with the aim of coping in the known and unknown internal and external spaces without the assistance of human guides. This work represents a significant step forward in the application of innovative technological solutions to increase independence and improve the quality of life for people with disabilities. This paper describes a navigation system for blind using Arduino and modern technology.

Information and Assisted Navigation System for Blind People

Nowadays public buildings are changing constantly, often people have to take different routes to reach known destinations. At the same time, new services and places are made available to attract more people to the shopping center. This dynamic environment is usually signalled and labelled with visual marks and signs which are not appropriated for blind persons. Therefore, blind users are unintentionally deprived of a full participation in the society. With the purpose of equalize the access to services and spaces among all persons, this work proposes an innovative indoor navigation and information system for public buildings, namely shopping centers, based on existing technologies not used for this purpose. Intending to allow a comfortable and helpful aid on blind persons trips to the shopping center, this proposal system relies on users smartphone and wireless sensors deployed in the environment.

Towards a navigation system for blind people

ACM SIGACCESS Accessibility and Computing, 2012

In this paper, we present an initial study towards of an indoor navigation system for blind people. As the system itself is still in an early stage of development, we conducted a Wizard of Oz study using a generic Wizard of Oz system designed for mobile and ubiquitous studies. The goal of the study was to validate a set of audio-based navigation commands in a field study context. Further, we wanted to identify usability issues of the Wizard of Oz tool, and ensure the appropriateness of the addressed study setup. Therefore, we used eight human wizards as participants in the study. Their task was to guide two blindfolded actors through a predefined route. Such settings helped us to achieve high ecological validity of the results compared to laboratory testing. We found that the developed study setup is fully mobile and can be used in any mobile context, the voice commands chosen for navigation are almost complete, and can be used with slight modifications for the follow-up study. Additionally we identified several usability flaws of the Wizard of Oz tool. After implementing the findings, the tool and the study setup are ready for a follow-up study with blind persons in order to validate the selected voice commands in depth.

A Prototype Navigation System for Guiding Blind People Indoors using NXT Mindstorms

People with visual impairment face enormous difficulties in terms of their mobility as they do not have enough information about their location and orientation with respect to traffic and obstacles on their route. Visually impaired people can navigate unknown areas by relying on the assistance of canes, other people, or specially trained guide dogs. The traditional ways of using guide dogs and long-cane only help to avoid obstacles, not to know where they are. The research presented in this paper introduces a mobile assistant navigation prototype to locate and direct blind people indoors. Since most of the existing navigation systems developed so far for blind people employ a complex conjunction of positioning systems, video cameras, locationbased and image processing algorithms, we designed an affordable low-cost prototype navigation system for orienting and tracking the position of blind people in complex environments. The prototype system is based on the inertial navigation system and experiments have been performed on NXT Mindstorms platform.

An automated navigation system for blind people

Bulletin of Electrical Engineering and Informatics, 2022

Proper navigation and detailed perception in familiar or unfamiliar environments are the main roles for human life. Eyesight sense helps humans to abstain from all kinds of dangers and navigate to indoor and outdoor environments. These are challenging activities for blind people in all environments. Many assistive tools have been developed by the blessing of technology like braille compasses and white canes that help them to navigate around in the environment. A vision and cloud-based navigation system for the visually impaired or blind person was developed. Our aim was not only to navigate them but also to perceive the environment in as much detail as a normal person. The proposed system includes ultrasonic sensors detecting obstacles, stereo camera to capture videos to perceive the environment using deep learning algorithms. Face recognition approach identified known faces in front of him. Blind people interacted with the whole system through a speech recognition module and all th...

International Journal on Recent and Innovation Trends in Computing and Communication Automated Mobility and Orientation System for Blind Person

— This paper is intended to provide a model for object detection and real time assistance via Global Positioning System (GPS).This paper aims at the development of an Electronic Travelling Aid (ETA) kit to help the blind people to find obstacle free path. This ETA is fixed to the wheel chair. When the object is detected near to the blind it alerts them with the help of voice play talkto which speakers are connected. Ultrasonic sensors are used to evaluate distance of the objects around the blind person and to guide the user towards the secure and available path. The hardware of entire system contains ARM7 (LPC2148),ultrasonic sensors and voice input kit, speakers, Global positioning system (GPS) module and Global System for Mobile (GSM) module.

A Navigation Aid for Blind People

2011

This paper presents a navigation aid for the blind based on a microcontroller with synthetic speech output. The system consists of two vibrators, two ultrasonic sensors mounted on the user's shoulders and another one integrated into the cane. It is able to give information to the blind about urban walking routes and to provide real-time information on the distance of over-hanging obstacles within 6 m along the travel path ahead of the user. The suggested system can then sense the surrounding environment via sonar sensors and sending vibro-tactile feedback to the user of the position of the closest obstacles in range. For the ultrasonic cane, it is used to detect any obstacle on the ground. Experimental results show the effectiveness of the proposed system for blind navigation.

Indoor Navigation Control System for Visually Impaired People

Blindness affects the perception of the surrounding environmental conditions. The primary requirement of any visual aid for mobility is obstacle detection. This work proposes an indoor navigation system for the visually impaired people. The system presented in this study is a robust, independent and portable aid to assist the user to navigate with auditory guidance. Computer-based algorithms developed in C sharp for the Microsoft Xbox Kinect 360 sensor allows to build a device for the navigational purpose. Kinect sensor streams both colour and depth data from the surrounding environment in real-time, which is then processed to provide the user with directional feedback using the wireless earphones. The effectiveness of the system was tested in experiments conducted with six blindfolded volunteers who successfully navigated across various indoor locations. Moreover, the user could also follow a specific individual through the output generated from the processed images.